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Record W2990189478 · doi:10.1123/jtpe.2018-0316

Recess Enjoyment, Affect, and Preferences by Gender and Developmental Level in Elementary School

2019· article· en· W2990189478 on OpenAlexaffabout
Ken R. Lodewyk, Lauren McNamara

Bibliographic record

VenueJournal of Teaching in Physical Education · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicYouth Development and Social Support
Canadian institutionsBrock University
Fundersnot available
KeywordsAffect (linguistics)PsychologyDevelopmental psychologyPreferencePhysical activity levelPhysical activity

Abstract

fetched live from OpenAlex

Purpose : This study assessed students’ levels and associations between recess enjoyment, positive affect, environmental factors, and activity preferences overall and as a function of gender and developmental level. Methods : An online survey was used to gather data from 464 students in Grades 4–8 from nine elementary schools in southwestern Ontario, Canada. Results : When the variance explained by gender and developmental level was controlled for in this study, both recess environment and activity preferences accounted for a significant portion of the variability related to affect and enjoyment of recess. Having equipment and space and preference for moderate-to-vigorous physical activity, organizing and playing games, and free time predicted both affect and enjoyment. Conclusion : These and other findings enable educators to progress in understanding how they might adjust approaches to recess to facilitate more enjoyment and positive affect in elementary school students especially by gender and developmental level.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.025
Threshold uncertainty score0.284

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.036
GPT teacher head0.359
Teacher spread0.323 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations4
Published2019
Admission routes2
Has abstractyes

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